https://github.com/codingworkflow/ai-code-fusion
Desktop app to process repository content into one file
https://github.com/codingworkflow/ai-code-fusion
ai ai-tools chatgpt claude claude-ai electron llm
Last synced: 3 months ago
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Desktop app to process repository content into one file
- Host: GitHub
- URL: https://github.com/codingworkflow/ai-code-fusion
- Owner: codingworkflow
- License: gpl-3.0
- Created: 2025-03-07T16:39:54.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-03-31T03:23:35.000Z (10 months ago)
- Last Synced: 2025-04-23T02:11:53.951Z (9 months ago)
- Topics: ai, ai-tools, chatgpt, claude, claude-ai, electron, llm
- Language: JavaScript
- Homepage: https://www.codingworkflow.com/
- Size: 2.24 MB
- Stars: 30
- Watchers: 2
- Forks: 1
- Open Issues: 8
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
Awesome Lists containing this project
README
# AI Code Fusion
## Features
A desktop application for preparing and optimizing code repositories for AI processing and analysis. It helps you select specific files, count tokens, and process source code for AI systems.
- Visual directory explorer for selecting code files
- Advanced file filtering with customizable patterns
- Accurate token counting for various AI models
- Code content processing with statistics
- Cross-platform support (Windows, macOS, Linux)
## Installation
### Download
Download the latest version for your platform from the [Releases page](https://github.com/codingworkflow/ai-code-fusion/releases).
### Windows
1. Download the `.exe` installer
2. Run the installer and follow the instructions
3. Launch from the Start Menu or desktop shortcut
### macOS
1. Download the `.dmg` file
2. Open the DMG and drag the application to your Applications folder
3. Launch from Applications
### Linux
1. Download the `.AppImage` file
2. Make it executable: `chmod +x AI.Code.Prep-*.AppImage`
3. Run it: `./AI.Code.Prep-*.AppImage`
## Usage Guide
### 1. Start and Filters
The application now features both Dark and Light modes for improved user experience.
Extended file filtering options:
- Exclude specific file types and patterns (using glob patterns) to remove build folders, venv, node_modules, .git from tree view and file selection
- Automatically exclude files based on .gitignore files in your repository
- Reduce selection to only the file extensions you specify
- Display token count in real-time during selection (can be disabled for very large repositories)
- Include file tree in output (recommended for better context in AI models)
### 2. File Selection
Select specific files and directories to analyze and process.
- Browse and select your root project directory
- Use the tree view to select specific files or folders
- See file counts and token sizes in real-time (when token display is enabled)
### 3. Final Processing
Generate the processed output ready for use with AI systems.
- View the final processed content ready for AI systems
- Copy content directly to clipboard for immediate use
- Export to file for later reference
- Review files by token count to help identify large files you may want to exclude
## Building from Source
### Prerequisites
- Node.js (v14 or later)
- npm
- Git
### Setup
```bash
# Clone the repository
git clone https://github.com/codingworkflow/ai-code-fusion
cd ai-code-fusion
# Install dependencies
make setup
# or
npm install
```
### Development
```bash
# Start the development server
make dev
# or
npm run dev
```
#### Troubleshooting Development
If you encounter issues with the development server:
1. For Windows users: The `make.bat` file has special handling for the `dev` command that properly sets environment variables
2. If you're still having issues:
- Ensure all dependencies are installed: `npm install`
- Try rebuilding: `npm run rebuild`
- Close any running instances of the app
- Restart your terminal/command prompt
- As a last resort, try direct electron launch: `npm run dev:direct`
### Building
```bash
# Build for current platform
make build
# Build for specific platforms
make build-win # Windows
make build-linux # Linux
make build-mac # macOS (Intel)
make build-mac-arm # macOS (Apple Silicon)
make build-mac-universal # macOS (Universal)
```
## License
GPL 3.0